如何使用neo4j和gremlin设计我的数据集

Question

i have a dataset containg fields like below:

id  amount date        s_pName   s_cName      b_pName   b_cName

 1    100   2/3/2012      IBM    IBM_USA        Pepsi    Pepsi_USA  
 2    200   21/3/2012     IBM    IBM_USA        Coke     Coke_UK
 3    300   12/3/2012     IBM    IBM_USA        Pepsi    Pepsi_USA
 4    1100  22/3/2012     Pepsi  IBM_Aus        IBM      IBM_USA

here all 4 fields like s_pName s_cName b_pName b_cName can be saler or buyer. how to models this dataset in neo4j so that when I query using gremlin like,

select b_CName,id,amount,date from tableName where s_cName = IBM_USA,IBM_AUS;

Answer 1

I noted your question on the gremlin-users mailing list as well (where you provided a bit more information about things you'd tried): https://groups.google.com/forum/#!topic/gremlin-users/AxsF2eJvpOA

I'm sure there are a few ways to approach this modelling issue, so I'll just provide some things to consider and hopefully that will inspire you to solution. First, instead of thinking of buyers and sellers, just think about the fact that you have "companies" that sells things to other companies and that companies have hierarchy (meaning that a company can have a parent). Your model then comes down to:

company --sellsTo--> company
company --parent--> company

Place your transaction amount and date on the "sellsTo" edge creating one such edge per row in your dataset. Create a key index on the "companyName" field of the company vertex so that you can look up the company. Your Gremlin would then be something like:

['IBM_USA','IBM_AUS'].collect{g.V('companyName',it).next()}._().outE('sellsTo').as('tx').inV.as('buyer').select{[it.id, it.amount, it.date]}{it.companyName}

so breaking that down you do a lookup of your two companies you care about by key index on companyName and get them into a pipeline with _() . Then you traverse out to the companies those two companies sold to. You use select to grab the tx (transaction edge) and buyer vertex executing a closure on each of them to transform them into the fields you want which will yield you something like (for one result, your Gremlin would likely return several of these with your full dataset obviously):

[[1,100,2/3/2012],Pepsi_USA]

You could use some Groovy JDK ( http://groovy.codehaus.org/groovy-jdk/ ) operations to transform it further from there if that's not the final format you need.